Local & State Government

Local government planning and development conditions have traditionally been determined without any significant testing of the impacts of potential redevelopment and subdivision.

Local governments are careful when implementing new development policy to avoid poorly planned developments or development outcomes, which in some cases, have hampered future development potential.

PointData’s algorithms can test the impacts of proposed changes to government planning conditions prior to implementation, minimising risk and boosting stakeholder confidence
We work closely with local government planners to identify key objectives and the likely development outcomes under existing and proposed conditions.
We develop test scenarios that are tailored for specific and desirable developments in specific locations. This gives local authorities greater control over the type, scale and volume of development within their jurisdiction.

The Right Choice For Your Business

Property Development Potential Report
A comprehensive report on the development potential of the residential subject property, providing land value, development timelines, options and return on investment.
Property Value Report
Provides a detailed, accurate and tailored valuation assessment of the subject property, incorporating recent sales activity and takes into account land economics and neighbourhood profiles.
Vendor Listing & Market Profile Report
Tailored for the Real Estate professional, buyers and sellers; this report provides a property value estimate as well as neighbourhood history, analysis, trends and comparisons.
API Real Time AVM Valuations
PointData developed not one, but three new Artificial Intelligence driven Automated Valuation Models: Property, Land and Highest and Best use.
Land Development Metrics
Our PropertyAI algorithms calculate the land value before and after sub-division based on location, zoning, size and shape of land parcels.
Property & Neighbourhood Indices
PointData’s price indexation method at a neighbourhood level allows a more granular level of growth analysis compared to hedonic models based on fixed and larger statistical areas. Its unique growth indices are calculated separately for property and its land.